springcreation Ashe
Geekbench ML Score
865
TensorFlow Lite NNAPI Inference Score
Geekbench ML 0.6.0 for Android AArch64
Result Information
| Upload Date | July 15 2025 04:01 AM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 15 |
| Model | springcreation Ashe |
| Model ID | springcreation Ashe |
| Motherboard | sun |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | Qualcomm ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 81 architecture 8 variant 3 part 1 revision 4 |
| Base Frequency | 3.53 GHz |
| Cluster 1 | 6 Cores @ 3.53 GHz |
| Cluster 2 | 2 Cores @ 4.32 GHz |
| Memory Information | |
|---|---|
| Size | 14.72 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
432
80.8 IPS |
|
|
Image Classification (F16)
|
100% |
422
78.9 IPS |
|
|
Image Classification (I8)
|
97% |
1183
221.4 IPS |
|
|
Image Segmentation (F32)
|
100% |
530
8.85 IPS |
|
|
Image Segmentation (F16)
|
100% |
527
8.80 IPS |
|
|
Image Segmentation (I8)
|
98% |
1066
17.8 IPS |
|
|
Pose Estimation (F32)
|
100% |
715
0.87 IPS |
|
|
Pose Estimation (F16)
|
100% |
712
0.86 IPS |
|
|
Pose Estimation (I8)
|
100% |
2889
3.50 IPS |
|
|
Object Detection (F32)
|
100% |
430
32.1 IPS |
|
|
Object Detection (F16)
|
100% |
434
32.4 IPS |
|
|
Object Detection (I8)
|
61% |
1294
96.6 IPS |
|
|
Face Detection (F32)
|
100% |
1059
12.6 IPS |
|
|
Face Detection (F16)
|
100% |
1047
12.5 IPS |
|
|
Face Detection (I8)
|
86% |
2537
30.2 IPS |
|
|
Depth Estimation (F32)
|
100% |
917
7.11 IPS |
|
|
Depth Estimation (F16)
|
100% |
747
5.80 IPS |
|
|
Depth Estimation (I8)
|
95% |
2085
16.2 IPS |
|
|
Style Transfer (F32)
|
100% |
1305
1.72 IPS |
|
|
Style Transfer (F16)
|
100% |
1310
1.72 IPS |
|
|
Style Transfer (I8)
|
98% |
3565
4.69 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
415
14.8 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
415
14.8 IPS |
|
|
Image Super-Resolution (I8)
|
98% |
1451
51.8 IPS |
|
|
Text Classification (F32)
|
100% |
465
668.4 IPS |
|
|
Text Classification (F16)
|
100% |
466
669.1 IPS |
|
|
Text Classification (I8)
|
92% |
726
1.04 KIPS |
|
|
Machine Translation (F32)
|
100% |
833
15.3 IPS |
|
|
Machine Translation (F16)
|
100% |
836
15.4 IPS |
|
|
Machine Translation (I8)
|
64% |
864
15.9 IPS |
